A network-based approach to classify the three domains of life.

ABSTRACT:

Background

Identifying group-specific characteristics in metabolic networks can provide better insight into evolutionary developments. Here, we present an approach to classify the three domains of life using topological information about the underlying metabolic networks. These networks have been shown to share domain-independent structural similarities, which pose a special challenge for our endeavour. We quantify specific structural information by using topological network descriptors to classify this set of metabolic networks. Such measures quantify the structural complexity of the underlying networks. In this study, we use such measures to capture domain-specific structural features of the metabolic networks to classify the data set. So far, it has been a challenging undertakin

SUBMITTER: Mueller LA 

PROVIDER: S-EPMC3226542 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature